Artificial intelligence agents have become two a penny in the enterprise today, but just because they’re rapidly being commoditized does not mean organizations know how best to use them. That’s the challenge a startup called Marble Cognition is trying to solve after raising $3.75 million in pre-seed funding to coincide with its launch today. The […] The post Marble Cognition raises $3.75M for its AI agent workers that watch and learn how people work appeared first on SiliconANGLE.
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How OpenSmartRoute helps
The router treats agents, tools and skills as targets in the same catalogue as models. An MCP tool or an A2A agent is one entry; the router picks it when it fits the request and learns from how it performs. The same guard and resource limits apply to a tool's arguments as to a prompt.
For a team that routes through the router, a release like this is one catalogue entry. The new model competes on the next request against what the team already runs, on quality, cost and speed. If it answers well it earns more traffic; if it fails it gets less, with no code change in the app.